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Senior Machine Learning Engineer - Ads Pangle - USDS

Job in Seattle, King County, Washington, 98127, USA
Listing for: TikTok USDS Joint Venture
Full Time position
Listed on 2026-10-17
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Responsibilities

About the team

Pangle is the ad network of Tik Tok for Business, helping mobile developers accelerate growth, deliver engaging ad experiences, and maximum revenue by accessing Tik Tok's global advertising demand.

Operating in more than 36 countries and regions, Pangle has built a strong reputation for driving measurable results for app partners worldwide.

As Pangle expands into the U.S. market, we're building our advertising platform from the ground up — tackling exciting new challenges in large-scale systems, optimization, and machine learning.

Join us to shape the future of mobile monetization and grow your career in a fast-moving, global team.

Responsibilities
  • Develop and optimize bidding algorithms and strategies across Pangle's ad delivery systems, including targeting, retrieval, ranking, and bidding models, with a focus on improving monetization efficiency and overall ad ROI.
  • Improve the performance and efficiency of large-scale, online-learning–based deep models for real-time advertising applications.
  • Apply advanced modeling techniques and strategic thinking to enhance attribution accuracy, delivery quality, and long-term ecosystem sustainability. Identify and drive innovative commercialization technologies and product solutions.
  • Design, build, and iterate on core ad prediction models such as CTR (Click-Through Rate) and CVR (Conversion Rate) models.
Qualifications

Minimum Qualification(s):

  • Bachelor's degree in computer science or related technical disciplines.
  • 3+ years of hands-on experience with building and training complex and scalable machine learning systems.
  • Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.
  • Strong coding skills and a solid understanding of machine learning algorithms, particularly deep learning and ranking models.
  • Experience leading or driving machine learning projects.

Preferred Qualification(s):

  • Strong theoretical background in machine learning and deep learning, with proficiency in at least one major framework (e.g., Tensor Flow, PyTorch).
  • Demonstrated experience optimizing large-scale advertising systems
Position Requirements
10+ Years work experience
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